SAP HANA Modeling

 

SAP HANA Data Modeling

SAP HANA Pre-requisites

Add HANA DB to HANA Studio

HANA DB Creation

HANA Schema (System / Custom schema)

Data Provisioning (ETL / Log / Trigger ) CDC / Transaction loading configuration using replication agent server / (Resume/suspended loading)

Normal loading/mass import

Copy DATA from SAP schema to custom schema

Loading data via information composer

View the data from content (SYS-REP)

Process

Create Package

Create information objects (Attribute view / analytical view / calc., view)

Manage views (w.r.t attribute / Analytical / calc. view)

Preview

Validation

Versioning

Auto documentation

Import model

Export model

Ownership

Multi-language support

Configuring modular preferences

Preparing to deliver a unit

Business Modeling

Use LDT (Create RDLAP conn (1…..N) / Data foundation / Business layer Use Business layer (.UNX) in Explorer Information Analysis development Webi 4.0 Dashboard Crystal enterprise Advance Analysis Use Webi / explorer on / PAD using blackberry exchange Server We can take multiple views in a Single business layer will get a huge amount of data within micro/millisecond

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Workflow for HANA Modeling

1) Package Structural pkg. linear pkg

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2) Attribute view Analytical view Calu. View

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3) Analytical Privilege User-specific roles with respect to access of attribute

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4) Preview data Accuracy Performance

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5) Validate     SQL joins

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6) Compose Versions of modals Version control check-in / Check out

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7) Ownership Assignment Authorization of uses to models

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8) Multilanguage Script Translation

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9) Object doc. (End to End doc)

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10)Model references Depends on Another mode/model

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11)Import / Export models from Service/Client

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12)Delivery units

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13)Logs

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  14)Der     Testing       Production

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15)BOLANDSCAPS

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16) BI  

SAP HANA Tutorials

Row-based view

Here we can create views directly from “Tables”. Row-based views are Relational views.

Procedure to create views

Create a view (Row-based) on a single table

Right-click on any table Select ‘New View”   Right side type (provide) ‘view name’  Schema Name So Select required felids and Drag into the column pane

Note: We must take at least one column to select Required columns  Validate and activate the view and we can view the data

Note: These relational views stores under view folder understanding schema

 

FULL – OUTER JOIN: It brings common values as well as extra values from two ‘Tables’

By creating “VIEW” we follow steps

1) Join Tables with join type – Kinner / outer (Left, Right, / full)

2) We need to select specified fields and Drag them into the column pane.

3) Validate and Activate

Difference between column views & row-based views

Row-based Views

It is ‘Relational Based view’ Here we can use Inner / Outer Joins Here we can take only columns from Tables. We cannot create Extra calculated columns (Custom) This type of views are specific to schema This views stores under the views folder in schema We cannot provide these views for BO we can save there as excel format

Column based View

It is an ‘OLAP based view” (only Analytical views)

Here we can create custom columns.

These views created under packages

full column-based views stores under “—sys –bic” schema for End-user Excel. BO.

For in-depth knowledge on SAP HANA, click on below

• Performance Tuning in SAP HANA
• Security in SAP HANA
• Organizing system Landscapes in SAP Hana
• Analytical Privileges in SAP HANA
• SAP HANA Views